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All Journal Multica Science and Technology Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Ilmu Komputer Aceh
Riyadhul Fajri
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Education Energy Engineering Library & Information Science Mechanical Engineering Physics

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Implementation of Ward AHC for Material Clustering Based on Mechanical Parameters Yusuf, Edy; Bakhtiar; Syukriah; Burhanuddin; Riyadhul Fajri
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 4 No. 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.977

Abstract

This study aims to implement the Ward Agglomerative Hierarchical Clustering (Ward AHC) algorithm to classify materials based on mechanical parameters, including tensile strength (Su), yield strength (Sy), elastic modulus (E), shear modulus (G), Poisson's ratio (?), and density (?). The clustering results reveal that the data is divided into three main groups with the following distributions: Cluster 1 (321 data points), Cluster 2 (403 data points), and Cluster 3 (828 data points). Each cluster exhibits unique characteristics: Cluster 1 is dominated by materials with low Su and Sy values, moderate E and G values, and light ?. Cluster 2 features materials with very high E values, while Su, Sy, and G values vary. Cluster 3 is characterized by moderate Su values, low Sy values, high E and G values, and light ?. An evaluation using the Silhouette Score yielded a value of 0.492, indicating that the clustering quality is reasonably good, though there is evidence that some data points may lie near the boundaries between clusters.
Klasifikasi Spesies Ikan Koi Berdasarkan Citra Menggunakan Metode YOLOv3-Tiny Dan OpenCV Rauzi Saputra; Imam Muslem; Riyadhul Fajri
Jurnal Ilmu Komputer Aceh Vol 3 No 1 (2026): Jurnal Ilmu Komputer Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim

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Abstract

Identification of koi fish (Cyprinus carpio) varieties in aquaculture and ornamental fish industries is commonly performed manually through visual observation, making the process subjective, inconsistent, and inefficient, particularly at large production scales. This study aims to develop an automated image-based detection and classification system for koi varieties using the YOLOv3-Tiny algorithm integrated with OpenCV, capable of operating in real-time conditions. The dataset consists of 3,154 images of six koi varieties—Asagi, Bekko, Hikarimono, Kohaku, Sanke, and Showa—which were expanded to 6,360 images through data augmentation techniques. Image labeling and annotation were conducted using Roboflow, while model training was implemented with the Darknet framework in a Google Colab environment supported by GPU acceleration. System performance was evaluated using mean Average Precision (mAP), loss function analysis, and both static image and real-time video testing. Experimental results demonstrate that the YOLOv3-Tiny model is capable of accurately detecting and classifying koi varieties with stable inference speed suitable for real-time applications. The proposed system enhances objectivity, consistency, and efficiency in koi variety identification and shows strong potential for practical implementation in technology-driven ornamental fish farming and trading industries
Analisis Model Dalam Melihat Kelayakan Bangunan Rumah Dengan Model Keputusan Weight Product Burhanuddin Burhanuddin; Mochamad Ari Saptari; Riyadhul Fajri
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 8 No. 2 (2024): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2024
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v8i2.20666

Abstract

Analisis model keputusan dalam melihat kelayakan bangunan rumah merupakan aspek penting dalam pengembangan perumahan yang berkelanjutan. Permasalahan yang dihadapi selama ini pembangunan perumahan khususnya rumah subsidi berperan signifikan dalam meningkatkan kualitas perumahan. analisis model keputusan dalam kelayakan bangunan rumah tidak hanya melibatkan aspek teknis dan finansial, tetapi juga mempertimbangkan faktor sosial dan etis yang dapat mempengaruhi hasil akhir dari proyek perumahan. analisis model keputusan dalam melihat kelayakan bangunan rumah sangat penting dalam konteks perumahan yang berkelanjutan dan inklusif. Penelitian ini dapat membantu dalam mengevaluasi alternatif perumahan dengan mempertimbangkan data pemangku kepentingan dan menilai efektivitas serta kelayakan model yang diusulkan. Dengan meningkatnya kebutuhan akan perumahan yang terjangkau dan ramah lingkungan, penting untuk mengembangkan sistem keputusan yang dapat membantu para pemangku kepentingan dalam mengevaluasi berbagai alternatif perumahan. Penelitian ini diharapkan dapat memberikan rekomendasi yang lebih mendalam bagi para pengambil keputusan dalam merancang dan melaksanakan proyek perumahan yang berkelanjutan dan sesuai dengan kebutuhan masyarakat.
Co-Authors Bakhtiar Burhanuddin Burhanuddin Burhanuddin Mochamad Ari Saptari Muslem R, Imam Rauzi Saputra Syukriah Yusuf, Edy